Wei Wen | DeepAI

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Dacheng Tao
495 publications
Ang Li
174 publications
Xiao Wang
144 publications
Ge Li
114 publications
Shuai Zhang
100 publications
Yiran Chen
100 publications
Sheng Li
85 publications
Hai Li
85 publications
Fang Liu
83 publications
Jian Cheng
79 publications
Weiyao Lin
61 publications

∙ 08/27/2023

Unified and Dynamic Graph for Temporal Character Grouping in Long Videos

Video temporal character grouping locates appearing moments of major cha...

0 Xiujun Shu, et al. ∙

∙ 08/08/2023

D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation

Temporal sentence grounding (TSG) aims to locate a specific moment from ...

0 Hanjun Li, et al. ∙

∙ 08/18/2022

See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval

Text-based person retrieval aims to find the query person based on a tex...

6 Xiujun Shu, et al. ∙

∙ 07/14/2022

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems

The rise of deep neural networks provides an important driver in optimiz...

0 Tunhou Zhang, et al. ∙

∙ 11/27/2021

Head and Body: Unified Detector and Graph Network for Person Search in Media

Person search in media has seen increasing potential in Internet applica...

0 Xiujun Shu, et al. ∙

∙ 06/06/2021

Brain Age Estimation From MRI Using Cascade Networks with Ranking Loss

Chronological age of healthy people is able to be predicted accurately u...

12 Jian Cheng, et al. ∙

∙ 04/30/2020

TRP: Trained Rank Pruning for Efficient Deep Neural Networks

To enable DNNs on edge devices like mobile phones, low-rank approximatio...

8 Yuhui Xu, et al. ∙

∙ 04/20/2020

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Modern deep neural networks (DNNs) often require high memory consumption...

10 Huanrui Yang, et al. ∙

∙ 12/02/2019

Neural Predictor for Neural Architecture Search

Neural Architecture Search methods are effective but often use complex a...

0 Wei Wen, et al. ∙

∙ 10/09/2019

Traned Rank Pruning for Efficient Deep Neural Networks

To accelerate DNNs inference, low-rank approximation has been widely ado...

0 Yuhui Xu, et al. ∙

∙ 09/25/2019

Conditional Transferring Features: Scaling GANs to Thousands of Classes with 30

Generative adversarial network (GAN) has greatly improved the quality of...

0 Chunpeng Wu, et al. ∙

∙ 08/27/2019

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures

In seeking for sparse and efficient neural network models, many previous...

0 Huanrui Yang, et al. ∙

∙ 06/19/2019

Joint Pruning on Activations and Weights for Efficient Neural Networks

With rapidly scaling up of deep neural networks (DNNs), extensive resear...

0 Qing Yang, et al. ∙

∙ 06/07/2019

AutoGrow: Automatic Layer Growing in Deep Convolutional Networks

We propose AutoGrow to automate depth discovery in Deep Neural Networks ...

0 Wei Wen, et al. ∙

∙ 01/26/2019

PruneTrain: Gradual Structured Pruning from Scratch for Faster Neural Network Training

Model pruning is a popular mechanism to make a network more efficient fo...

0 Sangkug Lym, et al. ∙

∙ 12/06/2018

Trained Rank Pruning for Efficient Deep Neural Networks

The performance of Deep Neural Networks (DNNs) keeps elevating in recent...

0 Yuhui Xu, et al. ∙

∙ 09/30/2018

Mini-batch Serialization: CNN Training with Inter-layer Data Reuse

Training convolutional neural networks (CNNs) requires intense computati...

0 Sangkug Lym, et al. ∙

∙ 05/21/2018

SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning

In distributed deep learning, a large batch size in Stochastic Gradient ...

0 Wei Wen, et al. ∙

∙ 04/10/2018

ConPredictor: Concurrency Defect Prediction in Real-World Applications

Concurrent programs are difficult to test due to their inherent non-dete...

0 Tingting Yu, et al. ∙

∙ 09/15/2017

Learning Intrinsic Sparse Structures within Long Short-Term Memory

Model compression is significant for the wide adoption of Recurrent Neur...

0 Wei Wen, et al. ∙

∙ 05/22/2017

TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning

High network communication cost for synchronizing gradients and paramete...

0 Wei Wen, et al. ∙

∙ 03/28/2017

Coordinating Filters for Faster Deep Neural Networks

Very large-scale Deep Neural Networks (DNNs) have achieved remarkable su...

0 Wei Wen, et al. ∙

∙ 03/12/2017

A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation

Recently, DNN model compression based on network architecture design, e....

0 Chunpeng Wu, et al. ∙

∙ 02/11/2017

Group Scissor: Scaling Neuromorphic Computing Design to Large Neural Networks

Synapse crossbar is an elementary structure in Neuromorphic Computing Sy...

0 Yandan Wang, et al. ∙

∙ 01/07/2017

Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses

Brain inspired neuromorphic computing has demonstrated remarkable advant...

0 Yandan Wang, et al. ∙

∙ 08/12/2016

Learning Structured Sparsity in Deep Neural Networks

High demand for computation resources severely hinders deployment of lar...

0 Wei Wen, et al. ∙

∙ 08/04/2016

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Phenomenally successful in practical inference problems, convolutional n...

0 Jongsoo Park, et al. ∙

∙ 04/03/2016

A New Learning Method for Inference Accuracy, Core Occupation, and Performance Co-optimization on TrueNorth Chip

IBM TrueNorth chip uses digital spikes to perform neuromorphic computing...

0 Wei Wen, et al. ∙

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